AFSC vs. SCDS
AFSC (abrdn Focused U.S. Small Cap Active ETF) and SCDS (JPMorgan Fundamental Data Science Small Core ETF) are both Small Cap Blend Equities funds. Both are actively managed. Over the past year, AFSC returned 34.76% vs 45.21% for SCDS. Their correlation of 0.92 suggests significant overlap in exposure. AFSC charges 0.65%/yr vs 0.40%/yr for SCDS.
Performance
AFSC vs. SCDS - Performance Comparison
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Returns By Period
In the year-to-date period, AFSC achieves a 24.40% return, which is significantly lower than SCDS's 26.51% return.
AFSC
- 1D
- -1.29%
- 1M
- 6.74%
- YTD
- 24.40%
- 6M
- 19.46%
- 1Y
- 34.76%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
SCDS
- 1D
- -1.08%
- 1M
- 4.83%
- YTD
- 26.51%
- 6M
- 23.71%
- 1Y
- 45.21%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
AFSC vs. SCDS - Yearly Performance Comparison
| 2026 (YTD) | 2025 | |
|---|---|---|
AFSC abrdn Focused U.S. Small Cap Active ETF | 24.40% | 2.33% |
SCDS JPMorgan Fundamental Data Science Small Core ETF | 26.51% | 6.60% |
Correlation
The correlation between AFSC and SCDS is 0.92, indicating a strong positive relationship between their price movements. Combining them offers limited diversification - they tend to fall together during downturns.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.92 |
Correlation (All Time) Calculated using the full available price history since Feb 18, 2025 | 0.92 |
The correlation between AFSC and SCDS has been stable across timeframes, ranging from 0.92 to 0.92 - a consistent structural relationship.
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Return for Risk
AFSC vs. SCDS — Risk / Return Rank
AFSC
SCDS
AFSC vs. SCDS - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for abrdn Focused U.S. Small Cap Active ETF (AFSC) and JPMorgan Fundamental Data Science Small Core ETF (SCDS). Risk-adjusted metrics are performance indicators that assess an investment's returns in relation to its risk, enabling a more accurate comparison of different investment options.
Values are calculated on a 1-year rolling basis and updated daily. Risk-adjusted metrics are more stable over longer periods — use the period switch above to explore them.
| AFSC | SCDS | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -0.59 | ||
| Sortino ratioReturn per unit of downside risk | -0.79 | ||
| Omega ratioGain probability vs. loss probability | 1.31 | 1.41 | -0.10 |
| Calmar ratioReturn relative to maximum drawdown | 3.40 | 5.13 | -1.74 |
| Martin ratioReturn relative to average drawdown | 12.89 | 17.82 | -4.93 |
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Drawdowns
AFSC vs. SCDS - Drawdown Comparison
The maximum AFSC drawdown since its inception was -21.93%, smaller than the maximum SCDS drawdown of -26.71%. Use the drawdown chart below to compare losses from any high point for AFSC and SCDS.
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Drawdown Indicators
| AFSC | SCDS | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -21.93% | -26.71% | +4.78% |
Max Drawdown (1Y)Largest decline over 1 year | -10.29% | -8.85% | -1.44% |
Current DrawdownCurrent decline from peak | -1.29% | -1.08% | -0.21% |
Average DrawdownAverage peak-to-trough decline | -4.12% | -5.16% | +1.04% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 2.70% | 2.54% | +0.16% |
Volatility
AFSC vs. SCDS - Volatility Comparison
The current volatility for abrdn Focused U.S. Small Cap Active ETF (AFSC) is 5.46%, while JPMorgan Fundamental Data Science Small Core ETF (SCDS) has a volatility of 6.18%. This indicates that AFSC experiences smaller price fluctuations and is considered to be less risky than SCDS based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| AFSC | SCDS | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 5.46% | 6.18% | -0.72% |
Volatility (6M)Calculated over the trailing 6-month period | 14.59% | 13.63% | +0.96% |
Volatility (1Y)Calculated over the trailing 1-year period | 19.01% | 18.68% | +0.33% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 22.51% | 21.25% | +1.26% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 22.51% | 21.25% | +1.26% |
AFSC vs. SCDS - Expense Ratio Comparison
AFSC has a 0.65% expense ratio, which is higher than SCDS's 0.40% expense ratio.
Dividends
AFSC vs. SCDS - Dividend Comparison
AFSC's dividend yield for the trailing twelve months is around 0.06%, less than SCDS's 1.10% yield.
| Position | TTM | 2025 | 2024 |
|---|---|---|---|
AFSC abrdn Focused U.S. Small Cap Active ETF | 0.06% | 0.08% | 0.00% |
SCDS JPMorgan Fundamental Data Science Small Core ETF | 1.10% | 1.15% | 0.42% |
Frequently Asked Questions
With a correlation of 0.92, AFSC and SCDS move almost identically. Holding both adds very little diversification - you're essentially doubling your position in the same market segment. Choosing one is usually more capital-efficient.
SCDS has higher volatility (6.18%) compared to AFSC (5.46%). In terms of maximum drawdown, AFSC dropped -21.93% vs SCDS's -26.71%.
On 1-year performance, SCDS leads with 45.21% vs 34.76% for AFSC. On fees, SCDS is cheaper at 0.40% per year. On volatility, AFSC has been the lower-risk option at 5.46%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, SCDS has performed better with a 45.21% return vs 34.76%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
SCDS is cheaper with a 0.40% expense ratio, compared with 0.65% for AFSC.
SCDS has the higher dividend yield at 1.10%, compared with 0.06% for AFSC.
They also come from different issuers: Aberdeen and JPMorgan. Their fees differ too: 0.65% for AFSC and 0.40% for SCDS.
SCDS currently has the higher Sharpe Ratio (2.44 vs 1.84), meaning it's delivered slightly more return per unit of risk over the trailing 12 months. However, this ranking shifts over time - use the Risk/Return Score above for a more comprehensive view that combines Sharpe, Sortino, and other measures used by quantitative funds.
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